Adaptive nonlinear enhancement of coarsely quantized video sequences

IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI:10.1109/ICSYSE.1991.161125

V. Ramamoorthy

引用次数: 1

Abstract

A computationally simple algorithm to enhance the visual quality of coarsely quantized video sequences is presented. This algorithm uses nonlinear filters to smooth discontinuous edges and granular noise associated with the quantization process. The nonlinear order statistics filtering approach does not attempt to preserve the edges, but to fill in and smooth the edge discontinuities. With a minor modification, these filters also function as controllable low-pass filters. The structure of these filters is suitable for cost-effective VLSI implementation. Simulation experiments show the efficiency of the enhancement algorithm.<>

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粗量化视频序列的自适应非线性增强

提出了一种计算简单的提高粗量化视频序列视觉质量的算法。该算法使用非线性滤波器平滑与量化过程相关的不连续边缘和颗粒噪声。非线性阶统计滤波方法并不试图保留边缘，而是填充和平滑边缘不连续点。稍加修改，这些滤波器也可作为可控低通滤波器。这些滤波器的结构适合于具有成本效益的VLSI实现。仿真实验证明了该增强算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IEEE 1991 International Conference on Systems Engineering

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